Dipkamal Bhusal

According to our database, Dipkamal Bhusal authored at least 22 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

H-Sets: Hessian-Guided Discovery of Set-Level Feature Interactions in Image Classifiers.

Ayushi Mehrotra, Dipkamal Bhusal, Michael Clifford, Nidhi Rastogi

CoRR, April, 2026

Training for Trustworthy Saliency Maps: Adversarial Training Meets Feature-Map Smoothing.

Dipkamal Bhusal, Md Tanvirul Alam, Nidhi Rastogi

CoRR, March, 2026

2025

FACE: Faithful Automatic Concept Extraction.

Dipkamal Bhusal, Michael Clifford, Sara Rampazzi, Nidhi Rastogi

CoRR, October, 2025

Concept-Based Masking: A Patch-Agnostic Defense Against Adversarial Patch Attacks.

Ayushi Mehrotra, Derek Peng, Dipkamal Bhusal, Nidhi Rastogi

CoRR, October, 2025

Do Sparse Subnetworks Exhibit Cognitively Aligned Attention? Effects of Pruning on Saliency Map Fidelity, Sparsity, and Concept Coherence.

Sanish Suwal, Dipkamal Bhusal, Michael Clifford, Nidhi Rastogi

CoRR, September, 2025

Learning to Look: Cognitive Attention Alignment with Vision-Language Models.

Ryan L. Yang, Dipkamal Bhusal, Nidhi Rastogi

CoRR, September, 2025

Smaller is Better: Enhancing Transparency in Vehicle AI Systems via Pruning.

Sanish Suwal, Shaurya Garg, Dipkamal Bhusal, Michael Clifford, Nidhi Rastogi

CoRR, September, 2025

Adversarial Patterns: Building Robust Android Malware Classifiers.

Dipkamal Bhusal, Nidhi Rastogi

ACM Comput. Surv., August, 2025

R+R: Revisiting Static Feature-Based Android Malware Detection Using Machine Learning.

Md Tanvirul Alam, Dipkamal Bhusal, Nidhi Rastogi

Proceedings of the IEEE Annual Computer Security Applications Conference, 2025

AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence.

Md Tanvirul Alam, Dipkamal Bhusal, Salman Ahmad, Nidhi Rastogi, Peter Worth Jr.

Proceedings of the Annual Computer Security Applications Conference, 2025

2024

Revisiting Static Feature-Based Android Malware Detection.

Md Tanvirul Alam, Dipkamal Bhusal, Nidhi Rastogi

CoRR, 2024

SECURE: Benchmarking Generative Large Language Models for Cybersecurity Advisory.

Dipkamal Bhusal, Md Tanvirul Alam, Le Nguyen, Ashim Mahara, Zachary Lightcap, Rodney Frazier, Romy Fieblinger, Grace Long Torales, Nidhi Rastogi

CoRR, 2024

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence.

Md Tanvirul Alam, Dipkamal Bhusal, Le Nguyen, Nidhi Rastogi

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Comprehensive Analysis of Consistency and Robustness of Machine Learning Models in Malware Detection.

Sreenitha Kasarapu, Dipkamal Bhusal, Nidhi Rastogi, Sai Manoj Pudukotai Dinakarrao

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

PASA: Attack Agnostic Unsupervised Adversarial Detection Using Prediction & Attribution Sensitivity Analysis.

Dipkamal Bhusal, Md Tanvirul Alam, Monish Kumar Manikya Veerabhadran, Michael Clifford, Sara Rampazzi, Nidhi Rastogi

Proceedings of the 9th IEEE European Symposium on Security and Privacy, 2024

SECURE: Benchmarking Large Language Models for Cybersecurity.

Dipkamal Bhusal, Md Tanvirul Alam, Le Nguyen, Ashim Mahara, Zachary Lightcap, Rodney Frazier, Romy Fieblinger, Grace Long Torales, Benjamin A. Blakely, Nidhi Rastogi

Proceedings of the Annual Computer Security Applications Conference, 2024

2023

G-VARS: Towards Personalized Risk Assessments by Analyzing Gun Violence Susceptibility with Personal Knowledge Graphs.

Dipkamal Bhusal, Sara Rampazzi, Michael Clifford, Nidhi Rastogi

IEEE Data Eng. Bull., 2023

Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI.

Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park, Nidhi Rastogi

Proceedings of the 26th International Symposium on Research in Attacks, 2023

SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability.

Dipkamal Bhusal, Rosalyn Shin, Ajay Ashok Shewale, Monish Kumar Manikya Veerabhadran, Michael Clifford, Sara Rampazzi, Nidhi Rastogi

Proceedings of the 18th International Conference on Availability, Reliability and Security, 2023

2022

SoK: Modeling Explainability in Security Monitoring for Trust, Privacy, and Interpretability.

Dipkamal Bhusal, Nidhi Rastogi

CoRR, 2022

CyNER: A Python Library for Cybersecurity Named Entity Recognition.

Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park, Nidhi Rastogi

CoRR, 2022

Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs.

Dipkamal Bhusal, Sanjeeb Prasad Panday

CoRR, 2022